Github Trends®
9676 findingsmedian surprise 0.00725window 30 days
UNIT / TREND-MONITOR · REV 2.6
[ 30 days window ]
SOURCE: own snapshots
▲РЕПО НЕТ В ОКНЕ 1D. ПОКАЗАН FINDING ИЗ ОКНА 30D (30 days) — РАНГ #8687.
FINDING #8687 · UNIT ID 1206815767
zhinkgit/embeddedskills
An open-source collection of embedded development and debugging skills for Claude Code, Copilot, TRAE, and other AI coding assistants that support the Skill protocol. Once installed, the AI assistant can directly operate compilers, debuggers, and communication buses, automating the full workflow from code generation to hardware verification.
[ PYTHON ][ GITHUB ↗ ]
SURPRISE SCORE
0.00

Score Breakdown

SURPRISE0.0119
ENGAGEMENT0.30
FRESHNESS1.10
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
7% OF STARS IN ARCHIVE
[BOT] SUSPECTED STAR BOT — SCORE PENALIZED. SIGNATURES:
S2 · NO EXTERNAL ISSUE/PR AUTHORS DESPITE 100+ STARS
S7 · THIS REPO IS ~ALL OF THE OWNER'S STARS
S10 · DEAD CODE, ZERO CONTRIBUTORS, YET STARS KEEP DRIPPING

Growth Telemetry

VELOCITY /D
1.63
ACCEL
-0.16
RETENTION
15.5%
PEAK 2026-09-20 · FORK-RETENTION 0.0% · 49 STARS / WINDOW

Author Audience

AUDIENCE
98
FOLLOWERS
22
OWNER ★
755

Engagement Signals

FORKS
94
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 49 / 49 (DIVERSITY 1.00)

Why This Is A Finding

zhinkgit/embeddedskills собрал 49 звёзд за окно, тогда как у автора всего 22 подписчиков — эффективная аудитория ≈ 98. Это даёт surprise-индекс 0.0119 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 0.0% и 0 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация отрицательная — внимание остывает после пика.

METRICS IN CONTEXT

MEDIAN ACROSS ALL 9676 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00-0.00ABOVE 10%
VELOCITY1.633.80-2.17ABOVE 6%
RETENTION15.5%20.0%-4.5 PPABOVE 39%
FORKS94142-48ABOVE 41%
SURPRISE0.010.01+0.00ABOVE 61%